docs: def predict(self, data):
          """
          Predict new values by running data through the fit model.
  
          Parameters
          ----------
          data : pandas.DataFrame
              Table with columns corresponding to the RHS of `model_expression`.
  
          Returns
          -------
          predicted : ndarray
              Array of predicted values.
  
          """
          with log_start_finish('_FakeRegressionResults prediction', logger):
              model_design = dmatrix(
                  self._rhs, data=data, return_type='dataframe')
              return model_design.dot(self.params).values